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Labelbox
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SegmentationData Analyst. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Education includes Bachelor of Technology, Indian Institute of Technology Dhanbad (2024) and Senior Secondary Certificate, City Montessori School (2019). AI-training focus includes data types such as Text and labeling workflows including Segmentation.
Created rubrics for question set validation related to maths, physics, and Hindi. Finetuned the model's response to suit the project standards as per the defining rubric quality criteria.
As a Data Analyst, I contributed to a team project focused on predictive analytics to enhance viewer engagement. I was responsible for developing and engineering the database framework to store viewer data from various sources. My role further involved implementing advanced machine learning models to improve viewer segmentation and reduce churn rate. • Engineered the MongoDB database to efficiently store multi-source viewer data. • Supported predictive analysis that decreased churn rate from 10.7 to 8.46. • Implemented the 'honey bee mating' model, outperforming prior segmentation approaches. • Collaborated with team members to drive project success and improve analytical processes.
Bachelor of Technology, Mechanical Engineering
Senior Secondary Certificate, Senior Secondary Education
Data Analyst
Associate
